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Data preprocessing in predictive data mining
The Knowledge Engineering Review, 2019Abstract A large variety of issues influence the success of data mining on a given problem. Two primary and important issues are the representation and the quality of the dataset. Specifically, if much redundant and unrelated or noisy and unreliable information is presented, then knowledge discovery becomes a very difficult problem ...
Stamatios-Aggelos N. Alexandropoulos +2 more
openaire +1 more source
Robust Techniques for Data Preprocessing
1996A summary on numerical cartography and digital photogrammetry, taking into account also some aspect of GIS’s and image processing, is presented, in order to list the principal problems of spatially referenced data analysis.
BROVELLI, MARIA ANTONIA +3 more
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Piecewise preprocessing of near-infrared spectra for improving prediction ability of a PLS model
Infrared Physics and Technology, 2022Yiping Du, Wuye Yang
exaly
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
ACM Computing Surveys, 2023Wenqi Wei, Jianxi Fan, Jingya Zhou
exaly
New data preprocessing trends based on ensemble of multiple preprocessing techniques
TrAC - Trends in Analytical Chemistry, 2020Douglas Rutledge, Federico Marini
exaly

